1 citations · 2 across the 3 of their papers we have counts for
3 papers
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
Giovanni Charles, Timothy M. Wolock, Peter Winskill +3
Epidemic models are powerful tools in understanding infectious disease. However, as they increase in size and complexity, they can quickly become computationally intractable. Recen…
Evaluating distributional regression strategies for modelling self-reported sexual age-mixing
Timothy M Wolock, Seth R Flaxman, Kathryn A Risher +3
The age dynamics of sexual partnership formation determine patterns of sexually transmitted disease transmission and have long been a focus of researchers studying human immunodefi…
Inferring HIV incidence trends and transmission dynamics with a spatio-temporal HIV epidemic model
Timothy M Wolock, Seth R Flaxman, Jeffrey W Eaton
Reliable estimation of spatio-temporal trends in population-level HIV incidence is becoming an increasingly critical component of HIV prevention policy-making. However, direct meas…